On August 10, 2021 Nouscom, a clinical stage immuno-oncology company developing off-the-shelf and personalized cancer neoantigen vaccines, reported the online publication of new research describing its novel and proprietary algorithm for the identification and prioritization of patient-specific tumor neoantigens, VENUS (Press release, NousCom, AUG 10, 2021, View Source [SID1234586268]).
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The VENUS algorithm predicts tumor specific mutated peptides that have the highest likelihood of inducing an immune response and act as neoantigens. Each neopeptide is assigned a score that combines its abundance and expression across tumor cells, with the likelihood of being presented on the tumor cell surface.
The paper entitled: "VENUS, a Novel Selection Approach to Improve the Accuracy of Neoantigens’ Prediction" (G. Leoni, A.M. D’Alise et al, reference below) has been published in the special issue of the peer-reviewed journal Vaccines focused on cancer neo-antigen vaccines.
The publication describes the predictive power of VENUS both in silico and in vivo when incorporated into Nouscom’s heterologous prime boost viral vector platform. In silico, the authors demonstrated VENUS’ ability to select 19 out of 20 neo-antigens inducing spontaneous CD8 or CD4 T cell mediated immune responses, from the top 60 ranked mutated peptides from 9 cancer patients.
In addition, an adenoviral vector vaccine encoding the top 60 ranked mutations, demonstrated efficacy and a potent T cell response, when used in combination with an anti-PD1 checkpoint inhibitor, in a murine cancer model.
The VENUS algorithm, in combination with Nouscom’s heterologous prime/boost viral vector platform, comprising a proprietary non-human adenoviral vector (GAd) and Modified Vaccinia Ankara vector (MVA), has been used to develop NOUS-PEV, a novel personalized cancer immunotherapy. NOUS-PEV is being evaluated in a Phase 1b clinical trial in combination with the anti-PD-1 checkpoint inhibitor pembrolizumab in patients with either locally advanced 1L melanoma or 1L non-small cell lung cancer (NSCLC) expressing more than 50% PD-L1. The trial (NCT04990479) is currently enrolling patients across multiple sites in Europe.
Dr. Elisa Scarselli, Chief Scientific Officer and Co-Founder of Nouscom, said: "The data published in Vaccines highlights the significance of using VENUS to enhance the accuracy of neoantigen prediction for cancer vaccine development. Combining VENUS with Nouscom’s viral vector platform allows the targeting of up to 60 tumor mutations in each patient that can generate broad and deep immune responses, potentially overcoming issues of tumor heterogeneity and escape through immunoediting. This could be an important advantage for Nouscom’s approach to personalized cancer immunotherapy."
"We look forward to announcing the first patient being dosed with Nouscom’s personalized immunotherapy, NOUS-PEV.”
References
G. Leoni, A.M. D’Alise et al. VENUS, a Novel Selection Approach to Improve the Accuracy of Neoantigens’ Prediction Vaccines (MDPI).
Online publication: View Source
About NOUS-PEV
NOUS-PEV is a personalized cancer immunotherapy designed for each patient based on selection and prioritization of mutations unique to that patient’s tumor. The strategy is based on Nouscom’s heterologous prime boost platform already clinically validated by its lead off-the-shelf clinical development program NOUS-209, composed of a proprietary non-human adenoviral vector (GAd) and Modified Vaccinia Ankara vector (MVA). Each of the two viral vector systems encodes multiple personalized neoantigens selected with a proprietary algorithm (VENUS), which prioritizes up to 60 mutations that represent the most immunogenic neoantigens.
NOUS-PEV is being evaluated in a Phase 1b clinical trial in combination with the anti-PD-1 checkpoint inhibitor pembrolizumab in patients with either locally advanced 1L melanoma or 1L non-small cell lung cancer (NSCLC) expressing more than 50% PD-L1. The trial (NCT04990479) commenced in 2021 and is currently enrolling patients across multiple clinical sites in Europe.